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Beijing Microview Science and Technology Co., Ltd is a high-tech company which researches and develops frame grabbers, modules, systems software, high-speed and high-resolution digital area cameras, line scan cameras, stereo and multiple heads cameras. Meanwhile, it professionally manages image processing, medical image, industry inspector, security inspector, module analysis and scientific research. Microview has set up overseas offices in Hong Kong, The United States and Canada with domestic offices and subsidiaries in Shanghai, Wuhang, Nanjing, Xi'an and Cheng du.

Content Filed Under:

Industry:
Packaging and Pharmaceutical Packaging and Pharmaceutical

Application:
Bar Code/OCR Reading and Visual Inspection & Testing Bar Code/OCR Reading and Visual Inspection & Testing

Pill Box Stamping Examination System

POSTED 05/05/2019

Description

Pill box stamping examination system is used on medicine packing line. It provides examination of possible defects of stamping, such as missing character, wrong date, indistinct character, etc. It recognizes stamping with AI algorithm, thus remove defective products, in case unqualified products flow into the market, making manufacture& quality control smarter.

Software interface

Features

AI process

Instead of those traditional character recognition algorithms that are error-prone?the system recognizes stamping with AI algorithm, can easily make out obscure stamping,

Better lighting

The system light with specific light source, very obscure stamping can be made out and recognized with AI algorithm.

Easy to use/maintain

After machine learning, the system can be directly used on a different line if the font is same. Need only 20 more samples to learn if the font is different.

Scope of application

Used by pharmaceutical companies. Used for the examination of any pill box stamping.

Parameter of examination

  • Specification: Any pill box stamping.
  • Speed: 300pcs/min
  • Detection rate: 100%
  • Features to be detected: Missing character, wrong date, wrong batch number, indistinct character, etc.

Detectable defect samples

 

Examination results diagram